The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.

OBJECTIVE:Knee adduction moment and knee adduction angular impulse enlargement is the main biomechanical risk factor of knee osteoarthritis.According to the survey,a change in the foot progression angle could effectively change the motion mode of patients with knee osteoarthritis.However,the impact of toe-in and toe-out on knee adduction moment and knee adduction angular impulse in young and elderly patients did not reach a consensus.Therefore,this study comprehensively discussed the effect of foot progression angle on knee adduction moment and knee adduction angular impulse in different populations through meta-analysis and provided a reference for the treatment of knee osteoarthritis. METHODS:By June 2022,searches were conducted on Web of Science,EBSCO,PubMed and CNKI databases using"foot progression angle,knee adduction moment,knee adduction angular impulse,gait"as Chinese and English search terms.Self-controlled randomized controlled studies analyzing the effects of toe-in and toe-out on knee adduction moment bimodality and knee adduction angular impulse were included.The cochrane bias risk assessment tool was utilized to make a quality evaluation of the literature.Stata 15.1 software was used for subgroup analysis to determine the effect of foot progression angle on knee adduction moment and knee adduction angular impulse.Meta-regression analysis was used to further determine characteristics of outcome indicators(knee adduction moment,knee adduction angular impulse)changing with foot progression angle. RESULTS:(1)A total of 15 self-control trials and 2 randomized controlled trials(455 subjects)were included in the meta-analysis.All of the included articles were of medium to high quality.(2)The meta-analysis results showed that the toe-in gait could reduce the first peak of knee adduction moment(SMD=-0.380,95%CI:-0.710 to-0.060,P=0.022)and knee adduction angular impulse(SMD=-1.470,95%CI:-2.160 to-0.770,P<0.001)in young patients.The toe-out gait reduced the second peak of knee adduction moment(SMD=-0.720,95%CI:-1.010 to-1.440,P<0.001)in young patients.In addition,toe-in gait could reduce the first peak of knee adduction moment in elder patients(SMD=-0.550,95%CI:-0.800 to-0.300,P<0.001),but increase the second peak knee adduction moment of elderly(SMD=0.280,95%CI:-0.010 to 0.560,P=0.047).The toe-out gait could decrease the second peak knee adduction moment in this population(SMD=-0.510,95%CI:-0.830 to-0.190,P=0.002).(3)Meta-regression showed that the greater the toe-out in elderly patients,the lower the second peak knee adduction moment. CONCLUSION:(1)Toe-in reduced the first peak knee adduction moment and knee adduction angular impulse in young knee osteoarthritis patients aged 18 to 34 years.Since knee adduction moment and knee adduction angular impulse were associated with medial knee loading and knee osteoarthritis incidence,toe-in gait intervention may be a suitable rehabilitation strategy for young patients.(2)Toe-in increased the second peak of knee adduction moment in older knee osteoarthritis patients over 60 years of age,which may exacerbate knee osteoarthritis in this population.However,the second peak of knee adduction moment during walking in this population decreases as the toe-out increases,contributing to a reduction in medial knee loading,suggesting that older patients may consider using toe-out gait during walking.

Brucellosis is a zoonotic infectious disease caused by Brucella infection. So far, animal to animal Brucellosis has not been eradicated, and there is a lack of safe and effective human vaccine. Therefore, "early, combined, sufficient, and full course" drug treatment remains an important strategy in the management of human Brucellosis. The goal of treating brucellosis is to alleviate and shorten the symptom period, reduce complications, relapses, and chronicity. At present, although antibiotic treatment is effective for most patients, there are still some patients who experience treatment failure or later recurrence, so the treatment strategy for brucellosis urgently needs to be optimized. This article elaborates on the treatment principles, clinical treatment status, and future development trends of brucellosis, in order to provide references for optimizing drug treatment methods for brucellosis.

Objective:To analyze the influencing factors of platinum resistant recurrence in advanced epithelial ovarian cancer(AEOC),establish a nomogram model to predict platinum-resistant recurrence of AEOC,and inter-nally validate it.Methods:The clinicopathological data of 577 AEOC patients who achieved complete remission af-ter initial treatment in the Department of Gynecology,Yunnan Cancer Hospital from June 1,2013 to December 31,2021 were collected.According to whether the platinum free interval(PFI)was less than 6 months,the patients were divided into platinum-resistant recurrence group(130 cases)and non-platinum-resistant group(447 cases,including patients with platinum-sensitive recurrence and no recurrence after 6 months of follow-up).Multivariate Logistic regression analysis was used to screen for the independent risk factors affecting the recurrence of plati-num-resistant patients.Based on the independent risk factors,a nomogram prediction model was established,and Bootstrap method was used for internal verification.The area under the ROC curve(AUC),calibration curve and decision curve(DCA)were used to evaluate the performance of the model.Results:①There were statistically sig-nificant differences in age,bilateral ovarian invasion,FIGO staging,menopause,neoadjuvant chemotherapy(NACT),chemotherapy interval(TTC),platelet count(PLT),platelet count/lymphocyte count ratio(PLR),fibrino-gen/lymphocyte count ratio(FLR),prognostic nutritional index(PNI),albumin(ALB),CA125 level,ascites volume,residual lesions,perioperative chemotherapy frequency,and CA125 half-life between the two groups(P＜0.05).②Multivariate Logistic regression analysis showed that bilateral ovarian invasion,FIGO stage Ⅳ,TTC＞16 days,ini-tial ascites volume＞1000ml,perioperative chemotherapy frequency＞9 times,surgery with R2 resection,CA125 half-life＞52 days were independent risk factors for recurrence of platinum-resistant AEOC patients(OR＞1,P＜0.05).③The AUC of the nomogram model constructed based on the above 7 indicators was 0.791(95％Cl 0.747-0.835),and the calibration curve and ideal curve fitted well.DCA showed that the net benefit interval of the model was 0.037-0.800.Conclusions:The nomogram prediction model based on independent risk factors for the recurrence of platinum-resistance of AEOC patients has good discrimination,calibration and clinical appli-cability,which can better predict the recurrence risk of platinum-resistance in AEOC patients after the initial treat-ment.

Objective:To analyze the influencing factors of platinum resistant recurrence in advanced epithelial ovarian cancer(AEOC),establish a nomogram model to predict platinum-resistant recurrence of AEOC,and inter-nally validate it.Methods:The clinicopathological data of 577 AEOC patients who achieved complete remission af-ter initial treatment in the Department of Gynecology,Yunnan Cancer Hospital from June 1,2013 to December 31,2021 were collected.According to whether the platinum free interval(PFI)was less than 6 months,the patients were divided into platinum-resistant recurrence group(130 cases)and non-platinum-resistant group(447 cases,including patients with platinum-sensitive recurrence and no recurrence after 6 months of follow-up).Multivariate Logistic regression analysis was used to screen for the independent risk factors affecting the recurrence of plati-num-resistant patients.Based on the independent risk factors,a nomogram prediction model was established,and Bootstrap method was used for internal verification.The area under the ROC curve(AUC),calibration curve and decision curve(DCA)were used to evaluate the performance of the model.Results:①There were statistically sig-nificant differences in age,bilateral ovarian invasion,FIGO staging,menopause,neoadjuvant chemotherapy(NACT),chemotherapy interval(TTC),platelet count(PLT),platelet count/lymphocyte count ratio(PLR),fibrino-gen/lymphocyte count ratio(FLR),prognostic nutritional index(PNI),albumin(ALB),CA125 level,ascites volume,residual lesions,perioperative chemotherapy frequency,and CA125 half-life between the two groups(P＜0.05).②Multivariate Logistic regression analysis showed that bilateral ovarian invasion,FIGO stage Ⅳ,TTC＞16 days,ini-tial ascites volume＞1000ml,perioperative chemotherapy frequency＞9 times,surgery with R2 resection,CA125 half-life＞52 days were independent risk factors for recurrence of platinum-resistant AEOC patients(OR＞1,P＜0.05).③The AUC of the nomogram model constructed based on the above 7 indicators was 0.791(95％Cl 0.747-0.835),and the calibration curve and ideal curve fitted well.DCA showed that the net benefit interval of the model was 0.037-0.800.Conclusions:The nomogram prediction model based on independent risk factors for the recurrence of platinum-resistance of AEOC patients has good discrimination,calibration and clinical appli-cability,which can better predict the recurrence risk of platinum-resistance in AEOC patients after the initial treat-ment.

ObjectiveTo investigate the genotyping and drug resistance trends of 461 strains of diarrheagenic Escherichia coli (DEC) isolated and identified in Suzhou, Jiangsu Province from 2019 to 2023. MethodsDEC detected in Suzhou in the past 5 years was used as the research subject, and the virulence genotyping was tested by real-time fluorescence quantitative polymerase chain reaction (PCR). The microbroth dilution method was used to perform drug susceptibility test, and the corresponding susceptibility (S), intermediate (I) and resistance (R) results were obtained based on the minimum inhibitory concentration (MIC) values, according to the criteria of United States Clinical and Laboratory Standardization Committee (CLSI) 2017. Differences of DEC drug resistance among different virulence genotypes were compared by χ² test or Fisher exact probability method. ResultsA total of 461 DEC strains were detected in Suzhou from 2019 to 2023, of which the highest proportion was enterotoxigenic Escherichia coli (ETEC) accounting for 45.77% (211/461), followed by enteropathogenic Escherichia coli (EPEC) accounting for 32.32% (149/461) and enteroaggregative Escherichia coli (EAEC) accounting for 20.39% (94/461), while enterohemor-rhagic Escherichia coli (EHEC) and enteroinvasive Escherichia coli (EIEC) were individually distributed. The antimicrobial drug with the highest resistance rate was ampicillin (61.61%), followed by cefazolin (49.89%) and nalidixic acid (44.47%). There were statistically significant differences in drug resistence rates of the three major virulence genotypes of DEC (ETEC, EPEC and EAEC) to ampicillin (AMP), ampicillin/sulbactam (AMS), amoxicillin/clavulanic acid (AMC), cefoxetine (CFX), gentamicin (GEN), streptomycin (STR), tetracycline (TET), nalidixic acid (NAL), and chloramphenicol (CHL), and methotrexate/sulfamethoxazole (SXT). The multi-drug resistance (MDR) rate of DEC was 59.87% (276/461), and the MDR rate of each genotype, from high to low, was EIEC (75.00%), EAEC (71.28%), EHEC (66.66%), EPEC (61.74%) and ETEC (52.86%). ConclusionETEC, EPEC and EAEC are the main genotypes prevalent in DEC in Suzhou in recent years. The drug resistance strains and MDR are still serious, which should arouse wide public health concern and take targeted prevention and control measures.

Objective To explore the relationship between preoperative coronary angiography and postoperative acute kidney injury (AKI) in cardiac surgery. Methods The clinical data of patients who underwent coronary angiography within 30 days before cardiac surgery in the First Affiliated Hospital of Xi’an Jiaotong University from January 2015 to April 2019 were retrospectively analyzed. Univariate analysis and multivariate logistic regression analyses were used to explore the relationship between the interval from preoperative coronary angiography to cardiac surgery and postoperative AKI. Results Finally 1 112 patients were collected, including 700 males and 412 females, with a median age of 61 (55, 66) years. The incidence of postoperative AKI was 40.8% (454/1 112), of which grade 2-3 AKI accounted for 11.9%. Multivariate analysis showed that age (OR=1.049, 95%CI 1.022-1.077, P<0.001), body mass index (OR=1.065, 95%CI 1.010-1.123, P=0.020) and time interval between preoperative coronary angiography and cardiac surgery within 24 hours (OR=1.625, 95%CI 1.116-2.364, P=0.011) were independent predictors of postoperative AKI. Patients who underwent coronary angiography within 24 hours before surgery had a 10.6% higher incidence of postoperative AKI compared to those who underwent angiography ≥24 hours before surgery (P=0.004). Patients who underwent valve surgery with or without coronary artery bypass grafting (CABG) had a higher risk of AKI than those who only underwent CABG. The in-hospital stay of patients who developed AKI was 2 days longer than those without AKI. However, undergoing coronary angiography within 24 hours before cardiac surgery did not prolong the length of ICU stay or hospital stay, nor did it increase the risk of death or renal failure after the operation. Conclusion Undergoing coronary angiography within 24 hours before cardiac surgery increases the risk of postoperative AKI.

Objective:To analyze the influencing factors of platinum resistant recurrence in advanced epithelial ovarian cancer(AEOC),establish a nomogram model to predict platinum-resistant recurrence of AEOC,and inter-nally validate it.Methods:The clinicopathological data of 577 AEOC patients who achieved complete remission af-ter initial treatment in the Department of Gynecology,Yunnan Cancer Hospital from June 1,2013 to December 31,2021 were collected.According to whether the platinum free interval(PFI)was less than 6 months,the patients were divided into platinum-resistant recurrence group(130 cases)and non-platinum-resistant group(447 cases,including patients with platinum-sensitive recurrence and no recurrence after 6 months of follow-up).Multivariate Logistic regression analysis was used to screen for the independent risk factors affecting the recurrence of plati-num-resistant patients.Based on the independent risk factors,a nomogram prediction model was established,and Bootstrap method was used for internal verification.The area under the ROC curve(AUC),calibration curve and decision curve(DCA)were used to evaluate the performance of the model.Results:①There were statistically sig-nificant differences in age,bilateral ovarian invasion,FIGO staging,menopause,neoadjuvant chemotherapy(NACT),chemotherapy interval(TTC),platelet count(PLT),platelet count/lymphocyte count ratio(PLR),fibrino-gen/lymphocyte count ratio(FLR),prognostic nutritional index(PNI),albumin(ALB),CA125 level,ascites volume,residual lesions,perioperative chemotherapy frequency,and CA125 half-life between the two groups(P＜0.05).②Multivariate Logistic regression analysis showed that bilateral ovarian invasion,FIGO stage Ⅳ,TTC＞16 days,ini-tial ascites volume＞1000ml,perioperative chemotherapy frequency＞9 times,surgery with R2 resection,CA125 half-life＞52 days were independent risk factors for recurrence of platinum-resistant AEOC patients(OR＞1,P＜0.05).③The AUC of the nomogram model constructed based on the above 7 indicators was 0.791(95％Cl 0.747-0.835),and the calibration curve and ideal curve fitted well.DCA showed that the net benefit interval of the model was 0.037-0.800.Conclusions:The nomogram prediction model based on independent risk factors for the recurrence of platinum-resistance of AEOC patients has good discrimination,calibration and clinical appli-cability,which can better predict the recurrence risk of platinum-resistance in AEOC patients after the initial treat-ment.

Objective:To analyze the influencing factors of platinum resistant recurrence in advanced epithelial ovarian cancer(AEOC),establish a nomogram model to predict platinum-resistant recurrence of AEOC,and inter-nally validate it.Methods:The clinicopathological data of 577 AEOC patients who achieved complete remission af-ter initial treatment in the Department of Gynecology,Yunnan Cancer Hospital from June 1,2013 to December 31,2021 were collected.According to whether the platinum free interval(PFI)was less than 6 months,the patients were divided into platinum-resistant recurrence group(130 cases)and non-platinum-resistant group(447 cases,including patients with platinum-sensitive recurrence and no recurrence after 6 months of follow-up).Multivariate Logistic regression analysis was used to screen for the independent risk factors affecting the recurrence of plati-num-resistant patients.Based on the independent risk factors,a nomogram prediction model was established,and Bootstrap method was used for internal verification.The area under the ROC curve(AUC),calibration curve and decision curve(DCA)were used to evaluate the performance of the model.Results:①There were statistically sig-nificant differences in age,bilateral ovarian invasion,FIGO staging,menopause,neoadjuvant chemotherapy(NACT),chemotherapy interval(TTC),platelet count(PLT),platelet count/lymphocyte count ratio(PLR),fibrino-gen/lymphocyte count ratio(FLR),prognostic nutritional index(PNI),albumin(ALB),CA125 level,ascites volume,residual lesions,perioperative chemotherapy frequency,and CA125 half-life between the two groups(P＜0.05).②Multivariate Logistic regression analysis showed that bilateral ovarian invasion,FIGO stage Ⅳ,TTC＞16 days,ini-tial ascites volume＞1000ml,perioperative chemotherapy frequency＞9 times,surgery with R2 resection,CA125 half-life＞52 days were independent risk factors for recurrence of platinum-resistant AEOC patients(OR＞1,P＜0.05).③The AUC of the nomogram model constructed based on the above 7 indicators was 0.791(95％Cl 0.747-0.835),and the calibration curve and ideal curve fitted well.DCA showed that the net benefit interval of the model was 0.037-0.800.Conclusions:The nomogram prediction model based on independent risk factors for the recurrence of platinum-resistance of AEOC patients has good discrimination,calibration and clinical appli-cability,which can better predict the recurrence risk of platinum-resistance in AEOC patients after the initial treat-ment.

Objective:To analyze the influencing factors of platinum resistant recurrence in advanced epithelial ovarian cancer(AEOC),establish a nomogram model to predict platinum-resistant recurrence of AEOC,and inter-nally validate it.Methods:The clinicopathological data of 577 AEOC patients who achieved complete remission af-ter initial treatment in the Department of Gynecology,Yunnan Cancer Hospital from June 1,2013 to December 31,2021 were collected.According to whether the platinum free interval(PFI)was less than 6 months,the patients were divided into platinum-resistant recurrence group(130 cases)and non-platinum-resistant group(447 cases,including patients with platinum-sensitive recurrence and no recurrence after 6 months of follow-up).Multivariate Logistic regression analysis was used to screen for the independent risk factors affecting the recurrence of plati-num-resistant patients.Based on the independent risk factors,a nomogram prediction model was established,and Bootstrap method was used for internal verification.The area under the ROC curve(AUC),calibration curve and decision curve(DCA)were used to evaluate the performance of the model.Results:①There were statistically sig-nificant differences in age,bilateral ovarian invasion,FIGO staging,menopause,neoadjuvant chemotherapy(NACT),chemotherapy interval(TTC),platelet count(PLT),platelet count/lymphocyte count ratio(PLR),fibrino-gen/lymphocyte count ratio(FLR),prognostic nutritional index(PNI),albumin(ALB),CA125 level,ascites volume,residual lesions,perioperative chemotherapy frequency,and CA125 half-life between the two groups(P＜0.05).②Multivariate Logistic regression analysis showed that bilateral ovarian invasion,FIGO stage Ⅳ,TTC＞16 days,ini-tial ascites volume＞1000ml,perioperative chemotherapy frequency＞9 times,surgery with R2 resection,CA125 half-life＞52 days were independent risk factors for recurrence of platinum-resistant AEOC patients(OR＞1,P＜0.05).③The AUC of the nomogram model constructed based on the above 7 indicators was 0.791(95％Cl 0.747-0.835),and the calibration curve and ideal curve fitted well.DCA showed that the net benefit interval of the model was 0.037-0.800.Conclusions:The nomogram prediction model based on independent risk factors for the recurrence of platinum-resistance of AEOC patients has good discrimination,calibration and clinical appli-cability,which can better predict the recurrence risk of platinum-resistance in AEOC patients after the initial treat-ment.